A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.
A research team led by Prof. ZHANG Shihua from the Academy of Mathematics and Systems Science has proposed a new computational tool, STAGATE, to decipher tissue substructures from spatial resolved transcriptomics. The model uses artificial intelligence technology to integrate spatial location information and gene expression profile of spatial spots. In this algorithm, a graph attention autoencoder is introduced, with a graph attention mechanism in the middle hidden layer, which can learn the heterogeneous similarities between neighboring spots adaptively.
A new study of diffuse dwarf galaxies is challenging the prevailing galaxy formation model within the standard Cold Dark Matter (CDM) framework, leading to a proposed new model of dark matter. Under the direction of Prof. WANG Huiyuan from the University of Science and Technology of China, the research team identified for the first time an exceptionally strong clustering pattern in diffuse dwarf galaxies.
An international team of researchers from the Shanghai Astronomical Observatory, the Kavli Institute for Astronomy and Astrophysics at Peking University, and the University of Cologne, has conducted the most sensitive, highest-resolution, and most complete survey to date of three representative molecular clouds in the Milky Way’s Central Molecular Zone.
A research team led by Prof. DOU Xincun from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences has developed a strategy for a triple-standard hypochlorite quantitative array, enabled by precise modulation of the Stokes shift in D-π-A chemodosimeters.
A research team led by Prof. Haji Akber Aisa at the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences, and their collaborators have isolated five pairs of potent analgesic alkaloid enantiomers from the roots of A. pyrethrum using molecular network technology.
A research team led by Prof. LI Yunhai from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences has uncovered a previously hidden mechanism that regulates rice grain size—a key determinant of crop yield and quality.
A new study led by Profs. XU Tao and HE Shunmin from the Institute of Biophysics of the Chinese Academy of Sciences has revealed how human leukocyte antigen genes, central to the immune system, influence both pathogen resistance and susceptibility to autoimmune diseases.
Scientists from the Institute of Applied Ecology of the Chinese Academy of Sciences have developed an automated monitoring system to continuously track methane absorption by forest soils. A four-year study at a temperate forest site revealed a strong correlation between soil temperature, moisture, and methane uptake rates, enhancing understanding of methane oxidation dynamics.
A research team led by Prof. ZHANG Enlou from the Nanjing Institute of Geography and Limnology at the Chinese Academy of Sciences analyzed "molecular fossils"—branched glycerol dialkyl glycerol tetraethers (brGDGTs)—preserved in the sediments of Girraween Lagoon. These organic compounds serve as precise paleothermometers when properly calibrated.
A recent study has introduced a novel data-driven model that distinguishes between human-induced and natural water consumption in croplands, providing valuable insights into the sustainability of arid lake ecosystems.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has released a long-term, high-resolution dataset that tracks global cropland water-use efficiency from 2001 to 2020. The dataset provides annual WUE estimates for croplands worldwide at a one-kilometer spatial resolution. It is expected to be a valuable resource for promoting sustainable agricultural water management.
A research team led by Prof. DI Kaichang from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed an innovative method to enhance the study of lobate scarps—small reverse fault landforms thought to reflect ancient tectonic activity on the Moon.
A research team from the Hefei Institutes of Physical Science has developed a novel large-scale compound cryopump (multi-stage cryopump) capable of separating fuel particles from helium ash—a breakthrough that could significantly advance fuel handling systems in future fusion reactors.
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